mmcguill/historical-ai
A repository to collect papers and programs of historical interest to AI. Mostly gathered while reading Pamela McCurdock's Machines Who Think
This collection provides access to foundational papers and early programs crucial to the development of Artificial Intelligence, primarily from the 1950s and 60s. It compiles seminal works on problem-solving, natural language processing, and early expert systems, allowing users to explore the original texts. Researchers, students, and enthusiasts of AI history would find this resource invaluable.
No commits in the last 6 months.
Use this if you want to understand the origins of AI by reading the original, groundbreaking papers and program descriptions that shaped the field.
Not ideal if you are looking for current AI research, practical code for modern AI applications, or a general overview of AI concepts without delving into historical texts.
Stars
26
Forks
6
Language
—
License
MIT
Category
Last pushed
Jan 28, 2020
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/mmcguill/historical-ai"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
voxel51/fiftyone
Refine high-quality datasets and visual AI models
academic/awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
sacridini/Awesome-Geospatial
Long list of geospatial tools and resources
r0f1/datascience
Curated list of Python resources for data science.
neomatrix369/awesome-ai-ml-dl
Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes...